Many prominent players in the petrochemical industry are already utilizing AI in their solutions. For example, Shell uses AI solutions to predict downstream demand, to optimize supply chain and to recommend correct mix of oil for refineries. Many other companies are also using AI for the above mentioned and many other use cases. A major use case of AI for the petrochemical industry lies in modern machine learning methods to reduce emissions and to optimize their pipelines so as to cause minimal environmental damage. AI based methods, due to the fact they can ingest large amounts of data and discover micro patterns, are well poised to tackle such problems which have traditionally been considered quite unsolvable. Up till now, emissions and hazards have been considered a part of conducting business, but AI is well poised to change this trend and advance the petrochemical industry to new levels of efficiency and smartness.